Constraint Satisfaction Problems are mathematical problems where a set of variables must satisfy a given set of constraints. CSPs are used in AI for tasks such as scheduling, resource allocation, and puzzle-solving. Techniques like Backtracking and Constraint Propagation are used to find feasible solutions.
Incremental Learning is an AI technique that allows models to continuously learn from new data without retraining from scratch. Instead of training the model…